| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| #ifndef EIGEN_CXX11_TENSOR_TENSOR_VOLUME_PATCH_H | |
| #define EIGEN_CXX11_TENSOR_TENSOR_VOLUME_PATCH_H | |
| namespace Eigen { | |
| /** \class TensorVolumePatch | |
| * \ingroup CXX11_Tensor_Module | |
| * | |
| * \brief Patch extraction specialized for processing of volumetric data. | |
| * This assumes that the input has a least 4 dimensions ordered as follows: | |
| * - channels | |
| * - planes | |
| * - rows | |
| * - columns | |
| * - (optional) additional dimensions such as time or batch size. | |
| * Calling the volume patch code with patch_planes, patch_rows, and patch_cols | |
| * is equivalent to calling the regular patch extraction code with parameters | |
| * d, patch_planes, patch_rows, patch_cols, and 1 for all the additional | |
| * dimensions. | |
| */ | |
| namespace internal { | |
| template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> | |
| struct traits<TensorVolumePatchOp<Planes, Rows, Cols, XprType> > : public traits<XprType> | |
| { | |
| typedef typename internal::remove_const<typename XprType::Scalar>::type Scalar; | |
| typedef traits<XprType> XprTraits; | |
| typedef typename XprTraits::StorageKind StorageKind; | |
| typedef typename XprTraits::Index Index; | |
| typedef typename XprType::Nested Nested; | |
| typedef typename remove_reference<Nested>::type _Nested; | |
| static const int NumDimensions = XprTraits::NumDimensions + 1; | |
| static const int Layout = XprTraits::Layout; | |
| typedef typename XprTraits::PointerType PointerType; | |
| }; | |
| template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> | |
| struct eval<TensorVolumePatchOp<Planes, Rows, Cols, XprType>, Eigen::Dense> | |
| { | |
| typedef const TensorVolumePatchOp<Planes, Rows, Cols, XprType>& type; | |
| }; | |
| template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> | |
| struct nested<TensorVolumePatchOp<Planes, Rows, Cols, XprType>, 1, typename eval<TensorVolumePatchOp<Planes, Rows, Cols, XprType> >::type> | |
| { | |
| typedef TensorVolumePatchOp<Planes, Rows, Cols, XprType> type; | |
| }; | |
| } // end namespace internal | |
| template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> | |
| class TensorVolumePatchOp : public TensorBase<TensorVolumePatchOp<Planes, Rows, Cols, XprType>, ReadOnlyAccessors> | |
| { | |
| public: | |
| typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Scalar Scalar; | |
| typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; | |
| typedef typename XprType::CoeffReturnType CoeffReturnType; | |
| typedef typename Eigen::internal::nested<TensorVolumePatchOp>::type Nested; | |
| typedef typename Eigen::internal::traits<TensorVolumePatchOp>::StorageKind StorageKind; | |
| typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Index Index; | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorVolumePatchOp(const XprType& expr, DenseIndex patch_planes, DenseIndex patch_rows, DenseIndex patch_cols, | |
| DenseIndex plane_strides, DenseIndex row_strides, DenseIndex col_strides, | |
| DenseIndex in_plane_strides, DenseIndex in_row_strides, DenseIndex in_col_strides, | |
| DenseIndex plane_inflate_strides, DenseIndex row_inflate_strides, DenseIndex col_inflate_strides, | |
| PaddingType padding_type, Scalar padding_value) | |
| : m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols), | |
| m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides), | |
| m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides), | |
| m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides), | |
| m_padding_explicit(false), m_padding_top_z(0), m_padding_bottom_z(0), m_padding_top(0), m_padding_bottom(0), m_padding_left(0), m_padding_right(0), | |
| m_padding_type(padding_type), m_padding_value(padding_value) {} | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorVolumePatchOp(const XprType& expr, DenseIndex patch_planes, DenseIndex patch_rows, DenseIndex patch_cols, | |
| DenseIndex plane_strides, DenseIndex row_strides, DenseIndex col_strides, | |
| DenseIndex in_plane_strides, DenseIndex in_row_strides, DenseIndex in_col_strides, | |
| DenseIndex plane_inflate_strides, DenseIndex row_inflate_strides, DenseIndex col_inflate_strides, | |
| DenseIndex padding_top_z, DenseIndex padding_bottom_z, | |
| DenseIndex padding_top, DenseIndex padding_bottom, | |
| DenseIndex padding_left, DenseIndex padding_right, | |
| Scalar padding_value) | |
| : m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols), | |
| m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides), | |
| m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides), | |
| m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides), | |
| m_padding_explicit(true), m_padding_top_z(padding_top_z), m_padding_bottom_z(padding_bottom_z), m_padding_top(padding_top), m_padding_bottom(padding_bottom), | |
| m_padding_left(padding_left), m_padding_right(padding_right), | |
| m_padding_type(PADDING_VALID), m_padding_value(padding_value) {} | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex patch_planes() const { return m_patch_planes; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex patch_rows() const { return m_patch_rows; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex patch_cols() const { return m_patch_cols; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex plane_strides() const { return m_plane_strides; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex row_strides() const { return m_row_strides; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex col_strides() const { return m_col_strides; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex in_plane_strides() const { return m_in_plane_strides; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex in_row_strides() const { return m_in_row_strides; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex in_col_strides() const { return m_in_col_strides; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex plane_inflate_strides() const { return m_plane_inflate_strides; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex row_inflate_strides() const { return m_row_inflate_strides; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex col_inflate_strides() const { return m_col_inflate_strides; } | |
| EIGEN_DEVICE_FUNC | |
| bool padding_explicit() const { return m_padding_explicit; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex padding_top_z() const { return m_padding_top_z; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex padding_bottom_z() const { return m_padding_bottom_z; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex padding_top() const { return m_padding_top; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex padding_bottom() const { return m_padding_bottom; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex padding_left() const { return m_padding_left; } | |
| EIGEN_DEVICE_FUNC | |
| DenseIndex padding_right() const { return m_padding_right; } | |
| EIGEN_DEVICE_FUNC | |
| PaddingType padding_type() const { return m_padding_type; } | |
| EIGEN_DEVICE_FUNC | |
| Scalar padding_value() const { return m_padding_value; } | |
| EIGEN_DEVICE_FUNC | |
| const typename internal::remove_all<typename XprType::Nested>::type& | |
| expression() const { return m_xpr; } | |
| protected: | |
| typename XprType::Nested m_xpr; | |
| const DenseIndex m_patch_planes; | |
| const DenseIndex m_patch_rows; | |
| const DenseIndex m_patch_cols; | |
| const DenseIndex m_plane_strides; | |
| const DenseIndex m_row_strides; | |
| const DenseIndex m_col_strides; | |
| const DenseIndex m_in_plane_strides; | |
| const DenseIndex m_in_row_strides; | |
| const DenseIndex m_in_col_strides; | |
| const DenseIndex m_plane_inflate_strides; | |
| const DenseIndex m_row_inflate_strides; | |
| const DenseIndex m_col_inflate_strides; | |
| const bool m_padding_explicit; | |
| const DenseIndex m_padding_top_z; | |
| const DenseIndex m_padding_bottom_z; | |
| const DenseIndex m_padding_top; | |
| const DenseIndex m_padding_bottom; | |
| const DenseIndex m_padding_left; | |
| const DenseIndex m_padding_right; | |
| const PaddingType m_padding_type; | |
| const Scalar m_padding_value; | |
| }; | |
| // Eval as rvalue | |
| template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename ArgType, typename Device> | |
| struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, Device> | |
| { | |
| typedef TensorVolumePatchOp<Planes, Rows, Cols, ArgType> XprType; | |
| typedef typename XprType::Index Index; | |
| static const int NumInputDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value; | |
| static const int NumDims = NumInputDims + 1; | |
| typedef DSizes<Index, NumDims> Dimensions; | |
| typedef typename internal::remove_const<typename XprType::Scalar>::type Scalar; | |
| typedef typename XprType::CoeffReturnType CoeffReturnType; | |
| typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType; | |
| static const int PacketSize = PacketType<CoeffReturnType, Device>::size; | |
| typedef StorageMemory<CoeffReturnType, Device> Storage; | |
| typedef typename Storage::Type EvaluatorPointerType; | |
| enum { | |
| IsAligned = false, | |
| PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess, | |
| BlockAccess = false, | |
| BlockAccessV2 = false, | |
| PreferBlockAccess = TensorEvaluator<ArgType, Device>::PreferBlockAccess, | |
| Layout = TensorEvaluator<ArgType, Device>::Layout, | |
| CoordAccess = false, | |
| RawAccess = false | |
| }; | |
| //===- Tensor block evaluation strategy (see TensorBlock.h) -------------===// | |
| typedef internal::TensorBlockNotImplemented TensorBlockV2; | |
| //===--------------------------------------------------------------------===// | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device) : | |
| m_impl(op.expression(), device) | |
| { | |
| EIGEN_STATIC_ASSERT((NumDims >= 5), YOU_MADE_A_PROGRAMMING_MISTAKE); | |
| m_paddingValue = op.padding_value(); | |
| const typename TensorEvaluator<ArgType, Device>::Dimensions& input_dims = m_impl.dimensions(); | |
| // Cache a few variables. | |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { | |
| m_inputDepth = input_dims[0]; | |
| m_inputPlanes = input_dims[1]; | |
| m_inputRows = input_dims[2]; | |
| m_inputCols = input_dims[3]; | |
| } else { | |
| m_inputDepth = input_dims[NumInputDims-1]; | |
| m_inputPlanes = input_dims[NumInputDims-2]; | |
| m_inputRows = input_dims[NumInputDims-3]; | |
| m_inputCols = input_dims[NumInputDims-4]; | |
| } | |
| m_plane_strides = op.plane_strides(); | |
| m_row_strides = op.row_strides(); | |
| m_col_strides = op.col_strides(); | |
| // Input strides and effective input/patch size | |
| m_in_plane_strides = op.in_plane_strides(); | |
| m_in_row_strides = op.in_row_strides(); | |
| m_in_col_strides = op.in_col_strides(); | |
| m_plane_inflate_strides = op.plane_inflate_strides(); | |
| m_row_inflate_strides = op.row_inflate_strides(); | |
| m_col_inflate_strides = op.col_inflate_strides(); | |
| // The "effective" spatial size after inflating data with zeros. | |
| m_input_planes_eff = (m_inputPlanes - 1) * m_plane_inflate_strides + 1; | |
| m_input_rows_eff = (m_inputRows - 1) * m_row_inflate_strides + 1; | |
| m_input_cols_eff = (m_inputCols - 1) * m_col_inflate_strides + 1; | |
| m_patch_planes_eff = op.patch_planes() + (op.patch_planes() - 1) * (m_in_plane_strides - 1); | |
| m_patch_rows_eff = op.patch_rows() + (op.patch_rows() - 1) * (m_in_row_strides - 1); | |
| m_patch_cols_eff = op.patch_cols() + (op.patch_cols() - 1) * (m_in_col_strides - 1); | |
| if (op.padding_explicit()) { | |
| m_outputPlanes = numext::ceil((m_input_planes_eff + op.padding_top_z() + op.padding_bottom_z() - m_patch_planes_eff + 1.f) / static_cast<float>(m_plane_strides)); | |
| m_outputRows = numext::ceil((m_input_rows_eff + op.padding_top() + op.padding_bottom() - m_patch_rows_eff + 1.f) / static_cast<float>(m_row_strides)); | |
| m_outputCols = numext::ceil((m_input_cols_eff + op.padding_left() + op.padding_right() - m_patch_cols_eff + 1.f) / static_cast<float>(m_col_strides)); | |
| m_planePaddingTop = op.padding_top_z(); | |
| m_rowPaddingTop = op.padding_top(); | |
| m_colPaddingLeft = op.padding_left(); | |
| } else { | |
| // Computing padding from the type | |
| switch (op.padding_type()) { | |
| case PADDING_VALID: | |
| m_outputPlanes = numext::ceil((m_input_planes_eff - m_patch_planes_eff + 1.f) / static_cast<float>(m_plane_strides)); | |
| m_outputRows = numext::ceil((m_input_rows_eff - m_patch_rows_eff + 1.f) / static_cast<float>(m_row_strides)); | |
| m_outputCols = numext::ceil((m_input_cols_eff - m_patch_cols_eff + 1.f) / static_cast<float>(m_col_strides)); | |
| m_planePaddingTop = 0; | |
| m_rowPaddingTop = 0; | |
| m_colPaddingLeft = 0; | |
| break; | |
| case PADDING_SAME: { | |
| m_outputPlanes = numext::ceil(m_input_planes_eff / static_cast<float>(m_plane_strides)); | |
| m_outputRows = numext::ceil(m_input_rows_eff / static_cast<float>(m_row_strides)); | |
| m_outputCols = numext::ceil(m_input_cols_eff / static_cast<float>(m_col_strides)); | |
| const Index dz = m_outputPlanes * m_plane_strides + m_patch_planes_eff - 1 - m_input_planes_eff; | |
| const Index dy = m_outputRows * m_row_strides + m_patch_rows_eff - 1 - m_input_rows_eff; | |
| const Index dx = m_outputCols * m_col_strides + m_patch_cols_eff - 1 - m_input_cols_eff; | |
| m_planePaddingTop = dz - dz / 2; | |
| m_rowPaddingTop = dy - dy / 2; | |
| m_colPaddingLeft = dx - dx / 2; | |
| break; | |
| } | |
| default: | |
| eigen_assert(false && "unexpected padding"); | |
| } | |
| } | |
| eigen_assert(m_outputRows > 0); | |
| eigen_assert(m_outputCols > 0); | |
| eigen_assert(m_outputPlanes > 0); | |
| // Dimensions for result of extraction. | |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { | |
| // ColMajor | |
| // 0: depth | |
| // 1: patch_planes | |
| // 2: patch_rows | |
| // 3: patch_cols | |
| // 4: number of patches | |
| // 5 and beyond: anything else (such as batch). | |
| m_dimensions[0] = input_dims[0]; | |
| m_dimensions[1] = op.patch_planes(); | |
| m_dimensions[2] = op.patch_rows(); | |
| m_dimensions[3] = op.patch_cols(); | |
| m_dimensions[4] = m_outputPlanes * m_outputRows * m_outputCols; | |
| for (int i = 5; i < NumDims; ++i) { | |
| m_dimensions[i] = input_dims[i-1]; | |
| } | |
| } else { | |
| // RowMajor | |
| // NumDims-1: depth | |
| // NumDims-2: patch_planes | |
| // NumDims-3: patch_rows | |
| // NumDims-4: patch_cols | |
| // NumDims-5: number of patches | |
| // NumDims-6 and beyond: anything else (such as batch). | |
| m_dimensions[NumDims-1] = input_dims[NumInputDims-1]; | |
| m_dimensions[NumDims-2] = op.patch_planes(); | |
| m_dimensions[NumDims-3] = op.patch_rows(); | |
| m_dimensions[NumDims-4] = op.patch_cols(); | |
| m_dimensions[NumDims-5] = m_outputPlanes * m_outputRows * m_outputCols; | |
| for (int i = NumDims-6; i >= 0; --i) { | |
| m_dimensions[i] = input_dims[i]; | |
| } | |
| } | |
| // Strides for the output tensor. | |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { | |
| m_rowStride = m_dimensions[1]; | |
| m_colStride = m_dimensions[2] * m_rowStride; | |
| m_patchStride = m_colStride * m_dimensions[3] * m_dimensions[0]; | |
| m_otherStride = m_patchStride * m_dimensions[4]; | |
| } else { | |
| m_rowStride = m_dimensions[NumDims-2]; | |
| m_colStride = m_dimensions[NumDims-3] * m_rowStride; | |
| m_patchStride = m_colStride * m_dimensions[NumDims-4] * m_dimensions[NumDims-1]; | |
| m_otherStride = m_patchStride * m_dimensions[NumDims-5]; | |
| } | |
| // Strides for navigating through the input tensor. | |
| m_planeInputStride = m_inputDepth; | |
| m_rowInputStride = m_inputDepth * m_inputPlanes; | |
| m_colInputStride = m_inputDepth * m_inputRows * m_inputPlanes; | |
| m_otherInputStride = m_inputDepth * m_inputRows * m_inputCols * m_inputPlanes; | |
| m_outputPlanesRows = m_outputPlanes * m_outputRows; | |
| // Fast representations of different variables. | |
| m_fastOtherStride = internal::TensorIntDivisor<Index>(m_otherStride); | |
| m_fastPatchStride = internal::TensorIntDivisor<Index>(m_patchStride); | |
| m_fastColStride = internal::TensorIntDivisor<Index>(m_colStride); | |
| m_fastRowStride = internal::TensorIntDivisor<Index>(m_rowStride); | |
| m_fastInputRowStride = internal::TensorIntDivisor<Index>(m_row_inflate_strides); | |
| m_fastInputColStride = internal::TensorIntDivisor<Index>(m_col_inflate_strides); | |
| m_fastInputPlaneStride = internal::TensorIntDivisor<Index>(m_plane_inflate_strides); | |
| m_fastInputColsEff = internal::TensorIntDivisor<Index>(m_input_cols_eff); | |
| m_fastOutputPlanes = internal::TensorIntDivisor<Index>(m_outputPlanes); | |
| m_fastOutputPlanesRows = internal::TensorIntDivisor<Index>(m_outputPlanesRows); | |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { | |
| m_fastOutputDepth = internal::TensorIntDivisor<Index>(m_dimensions[0]); | |
| } else { | |
| m_fastOutputDepth = internal::TensorIntDivisor<Index>(m_dimensions[NumDims-1]); | |
| } | |
| } | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; } | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) { | |
| m_impl.evalSubExprsIfNeeded(NULL); | |
| return true; | |
| } | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() { | |
| m_impl.cleanup(); | |
| } | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const | |
| { | |
| // Patch index corresponding to the passed in index. | |
| const Index patchIndex = index / m_fastPatchStride; | |
| // Spatial offset within the patch. This has to be translated into 3D | |
| // coordinates within the patch. | |
| const Index patchOffset = (index - patchIndex * m_patchStride) / m_fastOutputDepth; | |
| // Batch, etc. | |
| const Index otherIndex = (NumDims == 5) ? 0 : index / m_fastOtherStride; | |
| const Index patch3DIndex = (NumDims == 5) ? patchIndex : (index - otherIndex * m_otherStride) / m_fastPatchStride; | |
| // Calculate column index in the input original tensor. | |
| const Index colIndex = patch3DIndex / m_fastOutputPlanesRows; | |
| const Index colOffset = patchOffset / m_fastColStride; | |
| const Index inputCol = colIndex * m_col_strides + colOffset * m_in_col_strides - m_colPaddingLeft; | |
| const Index origInputCol = (m_col_inflate_strides == 1) ? inputCol : ((inputCol >= 0) ? (inputCol / m_fastInputColStride) : 0); | |
| if (inputCol < 0 || inputCol >= m_input_cols_eff || | |
| ((m_col_inflate_strides != 1) && (inputCol != origInputCol * m_col_inflate_strides))) { | |
| return Scalar(m_paddingValue); | |
| } | |
| // Calculate row index in the original input tensor. | |
| const Index rowIndex = (patch3DIndex - colIndex * m_outputPlanesRows) / m_fastOutputPlanes; | |
| const Index rowOffset = (patchOffset - colOffset * m_colStride) / m_fastRowStride; | |
| const Index inputRow = rowIndex * m_row_strides + rowOffset * m_in_row_strides - m_rowPaddingTop; | |
| const Index origInputRow = (m_row_inflate_strides == 1) ? inputRow : ((inputRow >= 0) ? (inputRow / m_fastInputRowStride) : 0); | |
| if (inputRow < 0 || inputRow >= m_input_rows_eff || | |
| ((m_row_inflate_strides != 1) && (inputRow != origInputRow * m_row_inflate_strides))) { | |
| return Scalar(m_paddingValue); | |
| } | |
| // Calculate plane index in the original input tensor. | |
| const Index planeIndex = (patch3DIndex - m_outputPlanes * (colIndex * m_outputRows + rowIndex)); | |
| const Index planeOffset = patchOffset - colOffset * m_colStride - rowOffset * m_rowStride; | |
| const Index inputPlane = planeIndex * m_plane_strides + planeOffset * m_in_plane_strides - m_planePaddingTop; | |
| const Index origInputPlane = (m_plane_inflate_strides == 1) ? inputPlane : ((inputPlane >= 0) ? (inputPlane / m_fastInputPlaneStride) : 0); | |
| if (inputPlane < 0 || inputPlane >= m_input_planes_eff || | |
| ((m_plane_inflate_strides != 1) && (inputPlane != origInputPlane * m_plane_inflate_strides))) { | |
| return Scalar(m_paddingValue); | |
| } | |
| const int depth_index = static_cast<int>(Layout) == static_cast<int>(ColMajor) ? 0 : NumDims - 1; | |
| const Index depth = index - (index / m_fastOutputDepth) * m_dimensions[depth_index]; | |
| const Index inputIndex = depth + | |
| origInputRow * m_rowInputStride + | |
| origInputCol * m_colInputStride + | |
| origInputPlane * m_planeInputStride + | |
| otherIndex * m_otherInputStride; | |
| return m_impl.coeff(inputIndex); | |
| } | |
| template<int LoadMode> | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const | |
| { | |
| EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE) | |
| eigen_assert(index+PacketSize-1 < dimensions().TotalSize()); | |
| if (m_in_row_strides != 1 || m_in_col_strides != 1 || m_row_inflate_strides != 1 || m_col_inflate_strides != 1 || | |
| m_in_plane_strides != 1 || m_plane_inflate_strides != 1) { | |
| return packetWithPossibleZero(index); | |
| } | |
| const Index indices[2] = {index, index + PacketSize - 1}; | |
| const Index patchIndex = indices[0] / m_fastPatchStride; | |
| if (patchIndex != indices[1] / m_fastPatchStride) { | |
| return packetWithPossibleZero(index); | |
| } | |
| const Index otherIndex = (NumDims == 5) ? 0 : indices[0] / m_fastOtherStride; | |
| eigen_assert(otherIndex == indices[1] / m_fastOtherStride); | |
| // Find the offset of the element wrt the location of the first element. | |
| const Index patchOffsets[2] = {(indices[0] - patchIndex * m_patchStride) / m_fastOutputDepth, | |
| (indices[1] - patchIndex * m_patchStride) / m_fastOutputDepth}; | |
| const Index patch3DIndex = (NumDims == 5) ? patchIndex : (indices[0] - otherIndex * m_otherStride) / m_fastPatchStride; | |
| eigen_assert(patch3DIndex == (indices[1] - otherIndex * m_otherStride) / m_fastPatchStride); | |
| const Index colIndex = patch3DIndex / m_fastOutputPlanesRows; | |
| const Index colOffsets[2] = { | |
| patchOffsets[0] / m_fastColStride, | |
| patchOffsets[1] / m_fastColStride}; | |
| // Calculate col indices in the original input tensor. | |
| const Index inputCols[2] = { | |
| colIndex * m_col_strides + colOffsets[0] - m_colPaddingLeft, | |
| colIndex * m_col_strides + colOffsets[1] - m_colPaddingLeft}; | |
| if (inputCols[1] < 0 || inputCols[0] >= m_inputCols) { | |
| return internal::pset1<PacketReturnType>(Scalar(m_paddingValue)); | |
| } | |
| if (inputCols[0] != inputCols[1]) { | |
| return packetWithPossibleZero(index); | |
| } | |
| const Index rowIndex = (patch3DIndex - colIndex * m_outputPlanesRows) / m_fastOutputPlanes; | |
| const Index rowOffsets[2] = { | |
| (patchOffsets[0] - colOffsets[0] * m_colStride) / m_fastRowStride, | |
| (patchOffsets[1] - colOffsets[1] * m_colStride) / m_fastRowStride}; | |
| eigen_assert(rowOffsets[0] <= rowOffsets[1]); | |
| // Calculate col indices in the original input tensor. | |
| const Index inputRows[2] = { | |
| rowIndex * m_row_strides + rowOffsets[0] - m_rowPaddingTop, | |
| rowIndex * m_row_strides + rowOffsets[1] - m_rowPaddingTop}; | |
| if (inputRows[1] < 0 || inputRows[0] >= m_inputRows) { | |
| return internal::pset1<PacketReturnType>(Scalar(m_paddingValue)); | |
| } | |
| if (inputRows[0] != inputRows[1]) { | |
| return packetWithPossibleZero(index); | |
| } | |
| const Index planeIndex = (patch3DIndex - m_outputPlanes * (colIndex * m_outputRows + rowIndex)); | |
| const Index planeOffsets[2] = { | |
| patchOffsets[0] - colOffsets[0] * m_colStride - rowOffsets[0] * m_rowStride, | |
| patchOffsets[1] - colOffsets[1] * m_colStride - rowOffsets[1] * m_rowStride}; | |
| eigen_assert(planeOffsets[0] <= planeOffsets[1]); | |
| const Index inputPlanes[2] = { | |
| planeIndex * m_plane_strides + planeOffsets[0] - m_planePaddingTop, | |
| planeIndex * m_plane_strides + planeOffsets[1] - m_planePaddingTop}; | |
| if (inputPlanes[1] < 0 || inputPlanes[0] >= m_inputPlanes) { | |
| return internal::pset1<PacketReturnType>(Scalar(m_paddingValue)); | |
| } | |
| if (inputPlanes[0] >= 0 && inputPlanes[1] < m_inputPlanes) { | |
| // no padding | |
| const int depth_index = static_cast<int>(Layout) == static_cast<int>(ColMajor) ? 0 : NumDims - 1; | |
| const Index depth = index - (index / m_fastOutputDepth) * m_dimensions[depth_index]; | |
| const Index inputIndex = depth + | |
| inputRows[0] * m_rowInputStride + | |
| inputCols[0] * m_colInputStride + | |
| m_planeInputStride * inputPlanes[0] + | |
| otherIndex * m_otherInputStride; | |
| return m_impl.template packet<Unaligned>(inputIndex); | |
| } | |
| return packetWithPossibleZero(index); | |
| } | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost | |
| costPerCoeff(bool vectorized) const { | |
| const double compute_cost = | |
| 10 * TensorOpCost::DivCost<Index>() + 21 * TensorOpCost::MulCost<Index>() + | |
| 8 * TensorOpCost::AddCost<Index>(); | |
| return TensorOpCost(0, 0, compute_cost, vectorized, PacketSize); | |
| } | |
| EIGEN_DEVICE_FUNC EvaluatorPointerType data() const { return NULL; } | |
| const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; } | |
| Index planePaddingTop() const { return m_planePaddingTop; } | |
| Index rowPaddingTop() const { return m_rowPaddingTop; } | |
| Index colPaddingLeft() const { return m_colPaddingLeft; } | |
| Index outputPlanes() const { return m_outputPlanes; } | |
| Index outputRows() const { return m_outputRows; } | |
| Index outputCols() const { return m_outputCols; } | |
| Index userPlaneStride() const { return m_plane_strides; } | |
| Index userRowStride() const { return m_row_strides; } | |
| Index userColStride() const { return m_col_strides; } | |
| Index userInPlaneStride() const { return m_in_plane_strides; } | |
| Index userInRowStride() const { return m_in_row_strides; } | |
| Index userInColStride() const { return m_in_col_strides; } | |
| Index planeInflateStride() const { return m_plane_inflate_strides; } | |
| Index rowInflateStride() const { return m_row_inflate_strides; } | |
| Index colInflateStride() const { return m_col_inflate_strides; } | |
| #ifdef EIGEN_USE_SYCL | |
| // binding placeholder accessors to a command group handler for SYCL | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void bind(cl::sycl::handler &cgh) const { | |
| m_impl.bind(cgh); | |
| } | |
| #endif | |
| protected: | |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packetWithPossibleZero(Index index) const | |
| { | |
| EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[PacketSize]; | |
| EIGEN_UNROLL_LOOP | |
| for (int i = 0; i < PacketSize; ++i) { | |
| values[i] = coeff(index+i); | |
| } | |
| PacketReturnType rslt = internal::pload<PacketReturnType>(values); | |
| return rslt; | |
| } | |
| Dimensions m_dimensions; | |
| // Parameters passed to the constructor. | |
| Index m_plane_strides; | |
| Index m_row_strides; | |
| Index m_col_strides; | |
| Index m_outputPlanes; | |
| Index m_outputRows; | |
| Index m_outputCols; | |
| Index m_planePaddingTop; | |
| Index m_rowPaddingTop; | |
| Index m_colPaddingLeft; | |
| Index m_in_plane_strides; | |
| Index m_in_row_strides; | |
| Index m_in_col_strides; | |
| Index m_plane_inflate_strides; | |
| Index m_row_inflate_strides; | |
| Index m_col_inflate_strides; | |
| // Cached input size. | |
| Index m_inputDepth; | |
| Index m_inputPlanes; | |
| Index m_inputRows; | |
| Index m_inputCols; | |
| // Other cached variables. | |
| Index m_outputPlanesRows; | |
| // Effective input/patch post-inflation size. | |
| Index m_input_planes_eff; | |
| Index m_input_rows_eff; | |
| Index m_input_cols_eff; | |
| Index m_patch_planes_eff; | |
| Index m_patch_rows_eff; | |
| Index m_patch_cols_eff; | |
| // Strides for the output tensor. | |
| Index m_otherStride; | |
| Index m_patchStride; | |
| Index m_rowStride; | |
| Index m_colStride; | |
| // Strides for the input tensor. | |
| Index m_planeInputStride; | |
| Index m_rowInputStride; | |
| Index m_colInputStride; | |
| Index m_otherInputStride; | |
| internal::TensorIntDivisor<Index> m_fastOtherStride; | |
| internal::TensorIntDivisor<Index> m_fastPatchStride; | |
| internal::TensorIntDivisor<Index> m_fastColStride; | |
| internal::TensorIntDivisor<Index> m_fastRowStride; | |
| internal::TensorIntDivisor<Index> m_fastInputPlaneStride; | |
| internal::TensorIntDivisor<Index> m_fastInputRowStride; | |
| internal::TensorIntDivisor<Index> m_fastInputColStride; | |
| internal::TensorIntDivisor<Index> m_fastInputColsEff; | |
| internal::TensorIntDivisor<Index> m_fastOutputPlanesRows; | |
| internal::TensorIntDivisor<Index> m_fastOutputPlanes; | |
| internal::TensorIntDivisor<Index> m_fastOutputDepth; | |
| Scalar m_paddingValue; | |
| TensorEvaluator<ArgType, Device> m_impl; | |
| }; | |
| } // end namespace Eigen | |
| #endif // EIGEN_CXX11_TENSOR_TENSOR_VOLUME_PATCH_H |